\(\alpha\)QBoost: an iteratively weighted adiabatic trained classifier

DOI10.1007/s11128-023-04180-1arXiv2210.07984OpenAlexW4389567961MaRDI QIDQ6176986

Daniel Beaulieu, Salvatore Certo, Andrew Vlasic

Publication date: 16 January 2024

Published in: Quantum Information Processing (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/2210.07984

zbMATH Keywords

classificationhybrid algorithmquantum annealingstatistical modeling

Mathematics Subject Classification ID

Quantum computation (81P68)

Cites Work

• Unnamed Item
• Additive logistic regression: a statistical view of boosting. (With discussion and a rejoinder by the authors)
• Agnostic Learning of Monomials by Halfspaces Is Hard
• Understanding Machine Learning

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